1

tools/cal_weight.py

@@ -6,7 +6,6 @@ else:
     sys.path.append('/data/deploy/make3d/make2/libs/')
     
 import config, libs, libs_db
-import pandas as pd
 
 def bmesh_copy_from_object(obj, transform=True, triangulate=True, apply_modifiers=False):
     """Returns a transformed, triangulated copy of the mesh"""
@@ -74,32 +73,12 @@ def main(action, pid, sizes,orderId=0):
     bpy.ops.object.transform_apply(location=True, rotation=True, scale=True)
     print(f'模型{pid}的体积与克重估算信息:')
     arrData = {}
-    excel_file = 'weights.xlsx'  # 替换为你的文件路径
-    df = pd.read_excel(excel_file)
-    new_data = {
-        'pid': [pid],  # 假设新的 pid 是 '002'
-        '6cm': [0],     # 新的 6cm 数据
-        '7cm': [0],     # 新的 7cm 数据
-        '8cm': [0],     # 新的 8cm 数据
-    }
-    
     for size in sizes:
         size = float(size)
         weight = cal_weight(obj, size)
         size = str(size/10)+"cm"
         arrData[size] = str(weight)+"g"
     
-        if size+"cm" in df.columns:
-            new_data[size+"cm"] = [weight]
-    
-    # 更新数据
-    # 将新数据转换为 DataFrame
-    new_df = pd.DataFrame(new_data)
-    # 将新数据附加到原始 DataFrame 中
-    df = pd.concat([df, new_df], ignore_index=True)
-    # 保存更新后的 Excel 文件
-    df.to_excel(excel_file, index=False)
-    
     #请求接口进行更新数据
     arrParams = {"pid":pid,"order_id":orderId}
     if action == "auto":

tools/cal_weight_excel.py

@@ -64,9 +64,10 @@ def cal_weight(obj, size):
     model_info = {}
     bm = bmesh_copy_from_object(obj)
     # 计算体积 保留两位小数 
-    model_info['volume'] = round(bm.calc_volume() / 1000,2)
+    print(f"{pid},尺寸={size} 计算出来的体积= {bm.calc_volume()}")   
+    model_info['volume'] = round(bm.calc_volume(),2)
     model_info['weight'] = round(model_info['volume'] * 1.226,2)
-    print(f'{size/10}cm：体积 {model_info["volume"]}cm³, 克重 {model_info["weight"]}g')
+    print(f'{size}cm：体积 {model_info["volume"]}cm³, 克重 {model_info["weight"]}g')
     return model_info["weight"]
 
 def main(action, pid, sizes,realHeight,orderId=0):
@@ -114,7 +115,7 @@ def main(action, pid, sizes,realHeight,orderId=0):
         arrData[arrSize[1]] = str(weight)+"g"
         
         if arrSize[1] in df.columns:
-            new_data[arrSize[1]+"尺寸"] = [str(size/10)+"cm"]
+            new_data[arrSize[1]+"尺寸"] = [str(size)+"cm"]
             new_data[arrSize[1]] = [str(weight)+'g']
     
     # 更新数据